Lead Data Scientist - R&D
Core
Lead a team in designing, developing, and deploying production-grade machine learning, deep learning, and NLP solutions to build innovative payment products at scale.
Role type
Lead Data Scientist (R&D)
Builds
Innovative payment solutions and services for global markets
Domain
Fintech / Digital Payments
Deliverable
production ML models
Required skills
Machine learning, deep learning, NLP, Python, feature engineering, model tuning, statistical techniques, large-scale data processing, cloud-native services, MLOps, API development, software engineering best practices
Preferred skills
Agentic AI patterns, prompt engineering, LLM fine-tuning and evaluation, Azure, Databricks, Unix systems, code configuration management
Technologies
Python, numpy, pandas, sklearn, keras, torch, transformers, langgraph, FastAPI, JSON, PySpark, SQL, Cosmos DB, Postgres, MLflow, GitHub, Bitbucket, Azure
Responsibilities
Lead technical design and development of scalable ML models and algorithms; Optimize models through feature engineering and hyperparameter tuning; Collaborate with cross-functional teams to deploy and scale models; Translate data insights into actionable recommendations; Develop and adopt best practices for statistical analysis and model validation; Maintain technical documentation for reproducibility; Mentor junior team members
Seniority
Senior, hands-on IC with leadership responsibilities